A NEW SCHEME FOR OFF-LINE HANDWRITTEN CONNECTED COGNITION
Nafiz Arıca · 1998
In this study, we introduce a new scheme for off-line handwritten connected digit string recognition problem, which uses a sequence of segmentation and recognition algorithms. The proposed system assumes no constraint in writing style, size or variations. First, a segmentation method, which combines the gray scale and binary information, is proposed to find the nonlinear character segmentation paths. Each segment is then, recognized by a Hidden Markov Model 0. Finally, in order to confirm the segmentation paths and recognition results, a recognition based segmentation method is presented. The proposed scheme is tested on 4000 handwritten connected dig< collected from 16 Werent persons. The experiments yield 97.2% recognition rate.